Triple

T22372387
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn North E553073 entity
Predicate governsFunction P83615 FINISHED
Object law enforcement LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: law enforcement | Statement: [Brooklyn North, governsFunction, law enforcement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsFunction
Context triple: [Brooklyn North, governsFunction, law enforcement]
  • A. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • B. governsActionBy
    Indicates that one entity exercises control, authority, or regulatory power over the actions or behavior of another entity.
  • C. governsAfter
    Indicates that one entity assumes governing authority or control after another entity’s period of governance has ended.
  • D. governsSectionOf
    Indicates that one entity has authoritative control or regulatory oversight over a specific section or part of another entity.
  • E. governsRoleOf chosen
    Indicates that one entity has authority or control over the role, responsibilities, or functions assigned to another entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15804f1b08190b57689e6afb615a0 completed April 29, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69e73011e6388190a05edf137f488441 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:44 p.m.